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I am working in the Computer Science and Engineering Department, University of Texas at Arlington as an assistant professor and also a guest researcher working in clinical center, NIH.
I was a Staff Scientist working with
Ronald M. Summers
at Clinical Center, National Institutes of Health.
I work on the intersection of computer vision, medical image analysis, bioinformatics and machine learning with the goal of developing machine learning tools for solving real-world problems.
I am currently looking for PhD student to working on
machine learning, computer vision and medical data analysis.
Details can be found here.
I did a postdoc at Cornell University working with Mert Sabuncu and postdoc in UNC Chapel Hill working with Guorong Wu. I obtained my Ph.D. from University of Queensland, Australia under the supervision of Simon Lucey (currently research associate professor in CMU, Pittsburgh, USA). I received my B.S. from Sichuan University and M. S. from University of Electronic Science and Technology of China. |
News
We are organizing CVPR 2021 Tutorial on Medical Imaging Analysis!
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Selected Publications
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Automatic recognition of abdominal lymph nodes from clinical text Yifan Peng, Sungwon Lee, Shuai Wang, Qingyu Chen, Yingying Zhu, Ronald M. Summers, Zhiyong Lu to appear in clinical NLP 2020
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Long Range Early Diagnosis of Alzheimer's Disease Using Longitudinal MR Imaging Data Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Guorong Wu to appear in Medical Image Analysis 2020
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E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans Youbao Tang, Yuxing Tang, Yingying Zhu, Ronald M. Summers Early Accepted by MICCAI 2020
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Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS Yingying Zhu, Jodi Gilman, Anne Eden Evins, Mert Sabuncu MICCAI 2019, oral presentation, accept rate<5%
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A Bayesian Disease Progression Model for Clinical Trajectories Yingying Zhu, Mert Sabuncu GRAIL 2018, Beyond MIC 2018, oral presentation
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A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome Yingying Zhu, Mert R Sabuncu arXiv preprint arXiv:1803.05011 2018
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Personalized diagnosis for Alzheimer's disease Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer and Guorong Wu MICCAI 2017
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A tensor statistical model for quantifying dynamic functional connectivity Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu IPMI 2017
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A novel dynamic hyper-graph inference framework for computer assisted diagnosis of neuro-diseases Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu IPMI 2017
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Complex non-rigid motion 3d reconstruction by union of subspaces Yingying Zhu, Dong Huang, Fernando De La Torre, Simon Lucey CVPR 2014
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Convolutional sparse coding for trajectory reconstruction Yingying Zhu, Simon Lucey IEEE transactions on pattern analysis and machine intelligence 2014
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Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters Jack Valmadre, Yingying Zhu, Sridha Sridharan, Simon Lucey ECCV 2012
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3D motion reconstruction for real-world camera motion Yingying Zhu, Mark Cox, Simon Lucey CVPR 2011
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Teaching
CSE 5368 Neural Networks Spring 2021 and Fall 2020 Syllabus CSE-5368-002 |